tnsAREA3-methods: Compute regulon activity by calling aREA (analytic Rank-based...

In csgroen/RTNsurvival: Survival analysis using transcriptional networks inferred by the RTN package

Description

Uses tni.area3 function to compute regulon activity for TNS class objects.

Usage

## S4 method for signature 'TNS'
tnsAREA3(tns, ...)

Arguments

tns	A TNS class, which has been preprocessed
...	Additional parameters passed to tni.area3 function.

Value

A TNS class, with added regulon activity scores.

References

Alvarez et al. Functional characterization of somatic mutations in cancer using network-based inference of protein activity. Nature Genetics, 48(8):838-847, 2016.

See Also

tni.area3 for additional details.

Examples

# load survival data
data(survival.data)

# load TNI-object
data(stni, package = "RTN")

stns <- tni2tnsPreprocess(stni, survivalData = survival.data, 
keycovar = c('Grade','Age'), time = 1, event = 2)

stns <- tnsAREA3(stns)

csgroen/RTNsurvival documentation built on May 20, 2019, 1:49 p.m.